Zip Codes with the Highest Median Female Earnings in New York

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Highest Earnings | Female
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
New York
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Median Female Earnings in New York

$0
$150,000
Zip Codes with the Highest Median Female Earnings in New York Map

Zip Codes with the Highest Median Female Earnings in New York

Zip Code Earnings vs State vs National
1.12743$139,338$41,423(+97.9k)#1$35,367(+104k)#7
2.11956$134,583$41,423(+93.2k)#2$35,367(+99.2k)#8
3.10006$115,529$41,423(+74.1k)#3$35,367(+80.2k)#17
4.10162$115,017$41,423(+73.6k)#4$35,367(+79.7k)#20
5.10280$112,768$41,423(+71.3k)#5$35,367(+77.4k)#25
6.10597$110,417$41,423(+69.0k)#6$35,367(+75.0k)#26
7.12460$109,750$41,423(+68.3k)#7$35,367(+74.4k)#27
8.10004$107,617$41,423(+66.2k)#8$35,367(+72.2k)#32
9.10007$103,350$41,423(+61.9k)#9$35,367(+68.0k)#41
10.12465$102,813$41,423(+61.4k)#10$35,367(+67.4k)#42
11.10282$101,781$41,423(+60.4k)#11$35,367(+66.4k)#44
12.11109$100,821$41,423(+59.4k)#12$35,367(+65.5k)#49
13.10502$100,045$41,423(+58.6k)#13$35,367(+64.7k)#53
14.12031$100,000$41,423(+58.6k)#14$35,367(+64.6k)#54
15.11948$98,348$41,423(+56.9k)#15$35,367(+63.0k)#62
16.10069$97,363$41,423(+55.9k)#16$35,367(+62.0k)#68
17.10065$97,277$41,423(+55.9k)#17$35,367(+61.9k)#69
18.10019$95,909$41,423(+54.5k)#18$35,367(+60.5k)#74
19.10022$95,394$41,423(+54.0k)#19$35,367(+60.0k)#78
20.14874$95,284$41,423(+53.9k)#20$35,367(+59.9k)#80
21.10279$94,510$41,423(+53.1k)#21$35,367(+59.1k)#86
22.10075$94,184$41,423(+52.8k)#22$35,367(+58.8k)#89
23.10014$93,657$41,423(+52.2k)#23$35,367(+58.3k)#91
24.10005$93,302$41,423(+51.9k)#24$35,367(+57.9k)#94
25.10023$92,722$41,423(+51.3k)#25$35,367(+57.4k)#99
26.10578$92,550$41,423(+51.1k)#26$35,367(+57.2k)#102
27.10016$91,542$41,423(+50.1k)#27$35,367(+56.2k)#107
28.13692$91,076$41,423(+49.7k)#28$35,367(+55.7k)#110
29.11964$90,516$41,423(+49.1k)#29$35,367(+55.1k)#114
30.10028$89,221$41,423(+47.8k)#30$35,367(+53.9k)#119
31.11201$89,035$41,423(+47.6k)#31$35,367(+53.7k)#120
32.10803$88,431$41,423(+47.0k)#32$35,367(+53.1k)#126
33.10017$88,066$41,423(+46.6k)#33$35,367(+52.7k)#133
34.10010$87,307$41,423(+45.9k)#34$35,367(+51.9k)#141
35.11215$85,815$41,423(+44.4k)#35$35,367(+50.4k)#154
36.10024$85,758$41,423(+44.3k)#36$35,367(+50.4k)#155
37.12574$85,139$41,423(+43.7k)#37$35,367(+49.8k)#168
38.10968$85,069$41,423(+43.6k)#38$35,367(+49.7k)#171
39.10018$82,795$41,423(+41.4k)#39$35,367(+47.4k)#200
40.10128$82,289$41,423(+40.9k)#40$35,367(+46.9k)#212
41.10021$82,165$41,423(+40.7k)#41$35,367(+46.8k)#214
42.12512$81,016$41,423(+39.6k)#42$35,367(+45.6k)#229
43.10044$80,653$41,423(+39.2k)#43$35,367(+45.3k)#233
44.10011$80,285$41,423(+38.9k)#44$35,367(+44.9k)#239
45.11238$79,078$41,423(+37.7k)#45$35,367(+43.7k)#256
46.10706$78,289$41,423(+36.9k)#46$35,367(+42.9k)#266
47.12786$78,182$41,423(+36.8k)#47$35,367(+42.8k)#269
48.12785$77,532$41,423(+36.1k)#48$35,367(+42.2k)#283
49.10580$77,409$41,423(+36.0k)#49$35,367(+42.0k)#287
50.11792$77,338$41,423(+35.9k)#50$35,367(+42.0k)#289
51.11217$76,217$41,423(+34.8k)#51$35,367(+40.9k)#310
52.14881$75,139$41,423(+33.7k)#52$35,367(+39.8k)#338
53.10012$74,752$41,423(+33.3k)#53$35,367(+39.4k)#346
54.10804$73,750$41,423(+32.3k)#54$35,367(+38.4k)#364
55.11231$73,464$41,423(+32.0k)#55$35,367(+38.1k)#372
56.10510$73,030$41,423(+31.6k)#56$35,367(+37.7k)#383
57.13450$72,981$41,423(+31.6k)#57$35,367(+37.6k)#385
58.14041$72,857$41,423(+31.4k)#58$35,367(+37.5k)#388
59.12469$72,765$41,423(+31.3k)#59$35,367(+37.4k)#392
60.10520$72,339$41,423(+30.9k)#60$35,367(+37.0k)#405
61.10505$71,607$41,423(+30.2k)#61$35,367(+36.2k)#424
62.10583$71,451$41,423(+30.0k)#62$35,367(+36.1k)#427
63.10001$70,971$41,423(+29.5k)#63$35,367(+35.6k)#445
64.10514$70,635$41,423(+29.2k)#64$35,367(+35.3k)#459
65.10709$70,615$41,423(+29.2k)#65$35,367(+35.2k)#460
66.10038$70,364$41,423(+28.9k)#66$35,367(+35.0k)#468
67.11732$70,119$41,423(+28.7k)#67$35,367(+34.8k)#477
68.12439$70,110$41,423(+28.7k)#68$35,367(+34.7k)#478
69.10530$70,038$41,423(+28.6k)#69$35,367(+34.7k)#483
70.11375$69,787$41,423(+28.4k)#70$35,367(+34.4k)#488
71.10527$69,643$41,423(+28.2k)#71$35,367(+34.3k)#498
72.11222$69,577$41,423(+28.2k)#72$35,367(+34.2k)#501
73.12130$69,327$41,423(+27.9k)#73$35,367(+34.0k)#507
74.12976$69,297$41,423(+27.9k)#74$35,367(+33.9k)#508
75.10588$69,138$41,423(+27.7k)#75$35,367(+33.8k)#517
76.10013$68,888$41,423(+27.5k)#76$35,367(+33.5k)#533
77.12791$68,852$41,423(+27.4k)#77$35,367(+33.5k)#535
78.11718$68,750$41,423(+27.3k)#78$35,367(+33.4k)#542
79.10501$68,333$41,423(+26.9k)#79$35,367(+33.0k)#564
80.11577$68,198$41,423(+26.8k)#80$35,367(+32.8k)#570
81.13364$68,158$41,423(+26.7k)#81$35,367(+32.8k)#572
82.11765$67,870$41,423(+26.4k)#82$35,367(+32.5k)#590
83.12737$67,813$41,423(+26.4k)#83$35,367(+32.4k)#593
84.10560$67,532$41,423(+26.1k)#84$35,367(+32.2k)#603
85.10009$66,957$41,423(+25.5k)#85$35,367(+31.6k)#627
86.10504$66,893$41,423(+25.5k)#86$35,367(+31.5k)#629
87.10570$66,771$41,423(+25.3k)#87$35,367(+31.4k)#634
88.10989$66,168$41,423(+24.7k)#88$35,367(+30.8k)#654
89.10003$66,087$41,423(+24.7k)#89$35,367(+30.7k)#661
90.11507$66,044$41,423(+24.6k)#90$35,367(+30.7k)#663
91.12124$66,020$41,423(+24.6k)#91$35,367(+30.7k)#665
92.11960$65,865$41,423(+24.4k)#92$35,367(+30.5k)#669
93.11101$65,707$41,423(+24.3k)#93$35,367(+30.3k)#681
94.12061$65,458$41,423(+24.0k)#94$35,367(+30.1k)#705
95.11565$65,327$41,423(+23.9k)#95$35,367(+30.0k)#713
96.11360$65,234$41,423(+23.8k)#96$35,367(+29.9k)#717
97.12008$65,203$41,423(+23.8k)#97$35,367(+29.8k)#719
98.10036$65,149$41,423(+23.7k)#98$35,367(+29.8k)#722
99.10464$64,922$41,423(+23.5k)#99$35,367(+29.6k)#735
100.11971$64,811$41,423(+23.4k)#100$35,367(+29.4k)#743

Common Questions

What are the Top 10 Zip Codes with the Highest Median Female Earnings in New York?
Top 10 Zip Codes with the Highest Median Female Earnings in New York are:
#1
$139,338
#2
$134,583
#3
$115,529
#4
$115,017
#5
$112,768
#6
$110,417
#7
$109,750
#8
$107,617
#9
$103,350
#10
$102,813
What zip code has the Highest Median Female Earnings in New York?
12743 has the Highest Median Female Earnings in New York with $139,338.
What is the Median Female Earnings in the State of New York?
Median Female Earnings in New York is $41,423.
What is the Median Female Earnings in the United States?
Median Female Earnings in the United States is $35,367.